Thermostability Prediction
Collection
This group contains all relative training datasets and model checkpoints trained on these datasets for Thermostability Prediction. • 2 items • Updated • 2
protein stringlengths 88 5.39k | label float64 0.01 1 | stage stringclasses 3
values |
|---|---|---|
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MdAfLkVaFwVdYfGwTqLcKaRpGpQhPdNnHvRvVlLqRvDdGcAvHqGfShAkAdFwRdAaRkGwRwTfLpEwPaYfPfLfVaIqAdGdEpHqNrIgPtWaLgLaHpLdPtGnSdGfRgLtVaEiGtEtVmYiAdVtDdEpRsMnLvRvFsLvDcDvFvEcSvCpPpApLrYwQhRwTdVkLgRkViQfLgLdEdD#R#A#P#G#A#E#E#P#P#A#P#TrAiVdQiChFtVyYtShRdAhTdFdPdPpEcWrAsQvLhPdHgHdDnSgYdDdSlEpGdPpHvGvLnRhYgNdPdRpEvN#R# | 0.420456 | train |
M#G#K#N#K#L#L#H#P#S#L#V#L#L#L#L#V#L#L#P#T#D#A#S#V#S#G#KdPkQkYkMkVkLkVfPfSlLeLaHeTaEpTdTkEfKkGiCkViLaLiSeYsLdNpEwTwVkTfVkSwAkSwLkEdSdV#R#G#NiRdStLqFdTtDrLdEtA#E#NhDgVdLiHdCmVdAiFgAhVhPhKdSdSpSdNqEkEdVkMiFkLmTkVmQwViKdGtPpTpQdEiFdKiKdRiTaTiVgMmVyKgNyEwDdSkLqVkFdVkQaTwDlKfSqIeYdKePqGqQdTkViKkFmRkViVfSiMaDgEpNlFqHfPaLdNqEd... | 0.660711 | train |
M#CaSeLpGqLqFfPdPdPaPdPdRaGqQwVfTfLfYaEaHdNpNlEaLtVdTiGdSnS#Y#E#S#P#P#P#D#F#R#G#Q#W#I#N#L#P#V#LdQfLdT#K#D#P#L#K#T#P#G#R#L#D#H#G#T#R#T#A#F#I#H#H#R#E#QdV#WvKvRvC#IvNvIcWcR#D#V#GnLdFlGsVsLlNvEsIqAlNpSdE#E#E#V#F#EpWvVsKnTvAvSsGvWvAvLnAvLvCvRvWvAvS#SvL#H#G#S#L#F#P#H#L#S#L#RdSlElDvLlIlAqEqFlAaQlVwTvNgWqSqSqCfCqLwRrVeFkAdWfHd... | 0.434135 | train |
M#S#K#E#E#R#P#G#R#E#E#I#L#E#CfQdVfMqWaEaPfDdSpKvKdNcTfQlMqDnRvFlRvAvAqVcGcAvAvCvGvLdAdLdEpSaYvDvDsLlYqHvWcScVaEvSvYvSqDvFnWlAvEsFlWcKvFsSlGvIaVdFwSpRdVfYaDpEgVqVwDdTvSvKaGfIqAlDvVlPiEdWgFsKhGpStRwLhNfYlAlEvNlLlLlRdHdKpEpNqDqRdVfAaLeYwIeAdReEaGpKdEpEdItVdKtVdTgFsEnEnLlRqQlElVlAlLlFlAlAlAlMcRvKlMlGpVdKaKaGaDaReVeVeGeYqLe... | 0.111884 | train |
M#RvSvSvCvVvLvLvTvAvLvVvAvLvAvAvYvYlVlYdIdPdLdPdGpSlVaSfDpPvWsKlLlMsLvLvDlAsTvFlRvGvAlQlQvVvSlNvLvIcHvYvLvGvLnSdHhHsLlLvAsLsNqFcIvIvVcSvFvGfKfKdSdAqWdSdSdApQaVwKhVwTdDwTdDdFqDqGnVwEiVkRiVkFiEqGgPhPdKdPpEvEqPqLaKaRaSeVeVeYeIeHeGdGdGlWqArLhAdSfAcKrIgRpYlYnDvEvLlCnTnAvMlAcEhElLrNsAyViIyViSyItEgYfRhLgVpPpKvVdYaFpPpErQrIlHv... | 0.759759 | train |
MdNdYcApRlFqIfTdApAvSlAvApRfNdPpSdPpIqRlTvMvTlDvIcLvSlRvGdPdKpSpMdIdSdLpAsGhGpLkPdNqPlNvMpFdPpFdKaTkAdVwIaTdVdEdNvGfKdTiIdQiFdGhErEvMnMsKsRqAlLqQiYfShPhSlAqGaIhPpElLlLqSvWqLvKvQvLvQcIcKvLqHqNvPfPlTqIcHpYdPdPqSnQqGfQrMkDhLkCgVkTfSlGfSlQvQlGlLvClKlVsFlEvMgIgIaNaPaGaDaNeVaLeLeDaEpPlAaYdSlGvTvLlQvSsLnHvPvLnGnCyNdIyIdNhVaAy... | 0.621282 | train |
M#E#S#E#S#E#S#G#A#A#A#D#T#P#P#L#E#T#L#S#F#H#G#D#E#E#I#I#E#V#V#E#L#D#P#G#P#P#D#P#D#D#L#A#Q#E#M#E#D#V#D#F#E#E#E#E#E#E#E#G#N#E#E#G#W#V#L#E#P#Q#E#G#V#V#G#S#M#E#G#PdDaDqSfEpVdTkFqAfLpHfSpAfSfVwFfCdVkSdLaDqPqKpTpNrTqLwAmVwTiGwGfEqDsDqKwAiFfViWaRgLpSpDhGrEdLtLqFdEiCpAdGdHgKpDgStVfTnCdAwGyFaSaHlDnSrTqLkViAwTtGaDhMqSqGqLkLiKwVi... | 0.3069 | train |
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M#A#A#S#V#A#A#A#A#R#R#L#R#R#A#I#R#R#S#P#A#W#R#G#L#S#H#R#P#L#S#S#E#P#P#A#AdKaAlSvAnVvRqAvAlFlLqNcFlFcRcDvRvHvGvHaRdLeVdPaSaAfSaVqRpPqRdG#DdP#SlLdLlFgVaNaAfGpMcNsQvFvKqPcIlFlLfGlTqVdDaPcRqSfEpMsAvGvFhRfRkVhAwNySwQyKkChVaRqApG#G#H#H#NhDqLlEvDvVfGlRqDdLqSdHgHfTrFiFfEtMwLtGkNmWkAgFgGfGpEsYdFfKqElEvAvCvNvMsAvWcEcLcLvTcQpVvYl... | 0.168953 | train |
MdAaFfWpCcQqRqDpSvYpAdRfEkFdTkTwTfVwVaSdCkCdPkAdEwLdQwTdEqG#S#NvGrKdKtEdViLdSiGaFiQwViVwLtEpDgTdVnLwFdPaEdGdGpGqQqPhDtDwRwGwTdIkNqDpIfStVfLpRhVwThRdRdGpEpQiAtDiHtFtTtQrTyPtLdDdPgGgSdQiVtLmVtRgVtDpWvEvRsRsFlDqHrMqQlQvHvSvGvQvHvLlIlTqAlVlAlDcHvLpFpKvLwKhTfTpSgWkEhLpGdRpFqRkSiAkItEkLtDpTaPlSdMdTdApEvQsVlAvAsIsEqQvSvVlNvEv... | 0.286144 | train |
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M#V#F#P#A#K#R#F#C#L#V#PdSaMdEaGkVaRkWaAkFeSqClGqTpWdLdPdSdRpAvElWlLlLlAlVlRlSqIaQdPpEvElKsEvRvIlGlQpFdVfFaApRsDvAsKsAlAsMsAlGvRrLlMvIvRlKlLcVcAcEpKnLvNvIdPqWsNlHpIfRdLwQdRaTdApKlGgKfPiVdLtAdKpDpSdSnNgPpYqPpNqFwNdFkNeIwSeHdQdGdDrYmAiViLiAiAiEhPsEaLwQqVkGfIkDyIkMdKfTqSdFaPaGlRdGdShIlPvEvFvFcHvIvMcKvRqKqFaTdNpKvElWlEcTlIl... | 0.460338 | train |
M#L#Q#V#H#R#T#G#L#G#R#L#G#V#S#L#S#K#G#L#H#H#K#AaVeLeAeVwReReEdDdVpNdAlWlEpRqRfAtPlLaAdPlKvHlIlKlGvIvTvNvLvGrYhKaVyLeIyQePdSyNpRsRhAlIdHhDvKvDsYnVvKvAsGvGhIdLhQdEnDdIpSpEsAhCqLeIyLeGgVaKeRdPdPdElEvKpLdMaSaRqKhTeYyAeFyFaSqHpTlIlKlAvQdEpAvNrMvGvLvLvDqEsIcLlKvQsEqIyRwLyIfDyYqEvKlMlVaDdHpRvGrVdRrVlVfAdFlGqQlWlAlGlVqAqGlMlIl... | 0.409671 | train |
M#A#S#M#L#L#A#Q#R#L#A#C#S#F#Q#H#S#Y#R#L#L#V#P#G#S#R#H#I#S#Q#A#A#A#K#V#D#V#E#FfDdYdDpGaPwLdMfKdTdEaVwPvGdPpRvSfQvEvLvMlKvQvLvNcIvIpQpNnAsEpApVpHrFgFaCwNdYlEvEpSwRtGfNqYwLtVaDgVpDvGgNtRiMfLrDeLqYcScQvIvSlSqVaPaIgGtYgSpHdPvAlLvLvKvLlIcQpQdPpQvNcAvScMqFvVvNpRfPaAqLcGqIpLdPnPdEpNcFrVvEvKlLcRvQlSfLvLvSvVpAfPaKfGqMfSpQdLkIfTw... | 0.779519 | train |
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M#E#N#S#E#R#A#E#E#M#Q#E#N#Y#Q#R#N#G#T#A#E#E#Q#P#K#L#R#K#ElAfVdGdSlIvEvIlFcRpFlAdDdGpLlDlIvTvLlMqIvLlGlIlLvAlSlLlVqNlGlAlClLqPlLvMvPlLlVlLqGlEqMlSlDvNlLqIlS#G#C#L#V#Q#T#N#T#T#N#Y#Q#N#C#T#Q#S#Q#E#KvL#NlEvDsMlTvLvLsTlLvYvYlVlGvIsGlVvAsAlLlIvFsGlYlIsQnIqSlLsWqIlIlTsAlAlRsQsTlKlRvIlRlKlQlFlFlHlSlVvLlAqQaDfIvGlWvFlDvSvCdDdIl... | 0.391965 | train |
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Description
Thermostability prediction is a regression task where each input protein x is mapped to a label y ∈ R, corresponding to the thermostability of x.
Splits
Protein Format: SA sequence (AF2)
The dataset is from FLIP: Benchmark tasks in fitness landscape inferencefor proteins. We employ all proteins from the“Human-cell”splits (proteins that lack AF2 structures are removed), and split them based on 70% structure similarity (see ProteinShake), with the number of training, validation and test set shown below:
- Train: 5310
- Valid: 706
- Test: 706
Label
This label indicates the normalized thermostability of the protein, ranging from 0 to 1 (through min–max normalization). The original label ranges from 40 to 67.
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Size of downloaded dataset files:
7.81 MB
Size of the auto-converted Parquet files:
6.42 MB
Number of rows:
6,722